SARS-NCOV, Twitter, 7/3/2020 9:14:26 PM, 230191


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SARS-NCOV_2020-07-03_02-33-37.xlsx
SARS-NCOV_2020-07-03_02-33-37.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 03, 2020
Short Description:
SARS-NCOV via NodeXL https://bit.ly/2YWuh8z
@ct_bergstrom
@flutrackers
@mguru2020
@bicidiario
@mlcotten13
@willard1951
@gertvanderhoek
@sanidadgob
@ydeigin
@wmhaseltine

Top hashtags:
#covid19
#coronavirus
#sarscov2
#breaking
#sars_cov_2
#odisha
#sars
#covid_19

Description:
Description
The graph represents a network of 1,280 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 09:33 UTC.

The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 13-day, 10-hour, 54-minute period from Friday, 19 June 2020 at 01:02 UTC to Thursday, 02 July 2020 at 11:56 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 1280
Unique Edges : 602
Edges With Duplicates : 1515
Total Edges : 2117
Number of Edge Types : 5
Tweet : 238
Retweet : 694
MentionsInRetweet : 784
Replies to : 136
Mentions : 265
Self-Loops : 262
Reciprocated Vertex Pair Ratio : 0.00356188780053428
Reciprocated Edge Ratio : 0.00709849157054126
Connected Components : 261
Single-Vertex Connected Components : 124
Maximum Vertices in a Connected Component : 394
Maximum Edges in a Connected Component : 793
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.429475
Graph Density : 0.000688404026583268
Modularity : 0.54251
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,280 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 09:33 UTC.

The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 13-day, 10-hour, 54-minute period from Friday, 19 June 2020 at 01:02 UTC to Thursday, 02 July 2020 at 11:56 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : SARS-NCOV
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[20] https://journals.scholarsportal.info/search?q=((COVID-19)+OR+(2019-nCoV)+OR+(SARS-CoV-2))&search_in=anywhere&date_from=&date_to=&sort=relevance&sub=
[12] https://twitter.com/nrR2ppeIR8msbev/status/1276370928096522242?s=20
[10] https://www.lci.fr/international/en-direct-coronavirus-covid-19-en-france-reouverture-de-l-aeroport-d-orly-21-morts-en-24h-selon-le-dernier-bilon-2157485.html
[9] https://www.cdc.gov/coronavirus/2019-ncov/community/colleges-universities/ihe-testing.html
[9] https://elperuano.pe/noticia-china-aprueba-uso-interno-su-ejercito-una-vacuna-contra-virus-98943.aspx
[7] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/netherlands-covid-19/854302-netherlands-coronavirus-diagnosed-at-mink-farms#post872302
[7] http://canalsalut.gencat.cat/ca/salut-a-z/c/coronavirus-2019-ncov/
[6] https://blog.goo.ne.jp/tabibito12/e/1c3afba010db693d07b186ac88923f05
[5] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/COVID19_Nota_sobre_el_uso_de_UV-C.pdf
[5] https://www.lci.fr/sante/coronavirus-covid-19-ncov-sars-2-que-sait-on-du-remdesivir-l-antiviral-recommande-par-l-agence-europeenne-des-medicaments-2152573.html

Top URLs in Tweet in G1:
[1] https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/commercial-lab-surveys.html

Top URLs in Tweet in G2:
[7] https://www.lci.fr/international/en-direct-coronavirus-covid-19-en-france-reouverture-de-l-aeroport-d-orly-21-morts-en-24h-selon-le-dernier-bilon-2157485.html
[4] https://www.immunology.ox.ac.uk/covid-19/covid-19-immunology-literature-reviews/chadox1-ncov-19-vaccination-prevents-sars-cov-2-pneumonia-in-rhesus-macaques
[3] https://www.cdc.gov/coronavirus/2019-ncov/community/colleges-universities/ihe-testing.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covidview/index.html?CDC_AA_refVal=https%3A%2F%2Fwww.cdc.gov%2Fcoronavirus%2F2019-ncov%2Fcovid-data%2Fcovidview.html
[2] http://www.hosoge.com/
[2] https://www.lci.fr/sante/coronavirus-covid-19-ncov-sars-2-que-sait-on-du-remdesivir-l-antiviral-recommande-par-l-agence-europeenne-des-medicaments-2152573.html
[2] https://www.cdc.gov/coronavirus/2019-ncov/testing/serology-overview.html
[2] https://www.lci.fr/international/coronavirus-covid-19-les-premiers-vacanciers-francais-de-retour-en-tunisie-mais-sous-condition-2157485.html
[2] https://harvardtothebighouse.com/2020/01/31/logistical
[2] https://soundcloud.com/user-275864738/viral-counterpoint-of-the-coronavirus-spike-protein-2019-ncov

Top URLs in Tweet in G3:
[1] https://www.researchgate.net/publication/342314647_Structural_modeling_of_2019-novel_coronavirus_nCoV_spike_protein_reveals_a_proteolytically-sensitive_activation_loop_as_a_distinguishing_feature_compared_to_SARS-CoV_and_related_SARS-like_coronaviruse?isFromSharing=1

Top URLs in Tweet in G4:
[7] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/netherlands-covid-19/854302-netherlands-coronavirus-diagnosed-at-mink-farms#post872302
[2] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/-2019-ncov-studies-research-academia/epidemiology/872383-emerg-infect-dis-persistence-of-severe-acute-respiratory-syndrome-coronavirus-2-in-aerosol-suspensions
[1] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/-2019-ncov-studies-research-academia/874113-nature-suppression-of-a-sars-cov-2-outbreak-in-the-italian-municipality-of-vo%E2%80%99#post874113
[1] https://flutrackers.com/forum/forum/-2019-ncov-new-coronavirus/-2019-ncov-studies-research-academia/epidemiology/871611-nat-med-clinical-and-immunological-assessment-of-asymptomatic-sars-cov-2-infections#post871611
[1] http://www.flutrackers.com/forum

Top URLs in Tweet in G5:
[4] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/COVID19_Nota_sobre_el_uso_de_UV-C.pdf
[2] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/20200619Proteccion_Trabajadores_SARS-CoV-2.pdf
[1] https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Recomendaciones_de_operacion_y_mantenimiento.pdf

Top URLs in Tweet in G6:
[1] https://www.cdc.gov/coronavirus/2019-ncov/hcp/guidance-risk-assesment-hcp.html

Top URLs in Tweet in G7:
[1] https://twitter.com/Acyn/status/1275567239517868033
[1] https://www.who.int/news-room/articles-detail/key-considerations-for-repatriation-and-quarantine-of-travellers-in-relation-to-the-outbreak-of-novel-coronavirus-2019-ncov/

Top URLs in Tweet in G8:
[1] https://www.sciencedirect.com/science/article/pii/S187140212030076X?via%3Dihub

Top Domains
Top Domains in Tweet in Entire Graph:
[78] cdc.gov
[40] scholarsportal.info
[27] twitter.com
[25] lci.fr
[14] gob.es
[12] flutrackers.com
[9] elperuano.pe
[8] naukas.com
[7] go.jp
[7] gencat.cat

Top Domains in Tweet in G1:
[1] cdc.gov

Top Domains in Tweet in G2:
[27] cdc.gov
[12] lci.fr
[5] ac.uk
[5] twitter.com
[4] gob.es
[4] blogspot.com
[3] arcgis.com
[3] go.jp
[3] nih.gov
[2] hosoge.com

Top Domains in Tweet in G3:
[1] researchgate.net

Top Domains in Tweet in G4:
[12] flutrackers.com

Top Domains in Tweet in G5:
[7] gob.es

Top Domains in Tweet in G6:
[1] cdc.gov

Top Domains in Tweet in G7:
[1] twitter.com
[1] who.int

Top Domains in Tweet in G8:
[1] sciencedirect.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[90] covid19
[39] coronavirus
[29] sarscov2
[23] breaking
[19] sars_cov_2
[16] odisha
[12] sars
[11] covid_19
[11] españa
[9] covid



Top Hashtags in Tweet in G2:
[13] covid19
[6] sarscov2
[5] coronavirus
[4] sars_cov_2
[4] sijisahan_x_blog
[3] covid_19
[2] odisha
[2] breaking
[2] vaccinetrials
[2] novelcoronavirus

Top Hashtags in Tweet in G4:
[11] coronavirus
[7] covid19
[1] sars_cov_2

Top Hashtags in Tweet in G5:
[11] españa
[7] covid19
[2] ozono
[2] coronavirus
[2] radiaciones
[2] ultravioleta
[2] sars_cov_2
[2] higienejcyl
[2] documentosprl
[1] ultravioletac

Top Hashtags in Tweet in G7:
[1] covid19

Top Hashtags in Tweet in G9:
[26] covid19
[16] breaking
[14] odisha

Top Hashtags in Tweet in G10:
[2] coronavirus
[1] vaccins
[1] newyorkprotests
[1] michiganprotest
[1] coronapandemie
[1] businessplan

Top Words
Top Words in Tweet in Entire Graph:
[912] sars
[773] cov
[383] cdc
[356] based
[350] scale
[345] study
[343] large
[342] leading
[342] blood
[341] seroprevalence

Top Words in Tweet in G1:
[339] cdc
[339] leading
[339] large
[339] scale
[339] study
[339] sars
[339] cov
[339] seroprevalence
[339] six
[339] locations

Top Words in Tweet in G2:
[131] sars
[99] cov
[81] ncov
[52] 2019
[46] 19
[46] virus
[34] covid
[30] coronavirus
[21] vaccine
[20] chadox1

Top Words in Tweet in G3:
[4] ncov
[4] sars
[3] antgduarte
[3] 2019
[3] cov
[3] ayjchan
[3] sequence
[3] full
[3] length
[3] sequencing

Top Words in Tweet in G4:
[64] transmission
[45] sars
[45] cov
[41] flutrackers
[39] more
[32] eid
[32] aerosol
[32] important
[32] exposure
[32] pathway

Top Words in Tweet in G5:
[27] nota
[27] uso
[27] productos
[27] utilizan
[26] sanidadgob
[26] actuación
[23] ministerio
[23] sanidad
[22] publicada
[22] web

Top Words in Tweet in G6:
[31] sars
[31] cov
[31] spread
[31] eye
[31] inhalation
[31] sewage
[31] contaminated
[31] water
[31] possibly
[31] sewer

Top Words in Tweet in G7:
[12] 2019
[10] 19
[8] ncov
[8] sars
[7] coronavirus
[6] novel
[5] covid
[5] names
[5] cov
[5] realdonaldtrump

Top Words in Tweet in G8:
[3] 2019
[2] anantbhan
[2] virus
[2] sars
[2] ncov
[2] cov2
[2] trial

Top Words in Tweet in G9:
[60] cases
[32] sars
[32] ncov
[27] otvnews
[26] #covid19
[24] tally
[22] district
[20] total
[16] ganjam
[16] #breaking

Top Words in Tweet in G10:
[58] cov
[52] sars
[44] hcov
[29] 30
[29] laboratorium
[26] mers
[21] ruim
[21] geïsoleerde
[21] stammen
[20] die

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[728] sars,cov
[341] cdc,leading
[341] leading,large
[341] large,scale
[341] scale,study
[341] study,sars
[341] cov,seroprevalence
[341] seroprevalence,six
[341] six,locations
[341] locations,based

Top Word Pairs in Tweet in G1:
[339] cdc,leading
[339] leading,large
[339] large,scale
[339] scale,study
[339] study,sars
[339] sars,cov
[339] cov,seroprevalence
[339] seroprevalence,six
[339] six,locations
[339] locations,based

Top Word Pairs in Tweet in G2:
[94] sars,cov
[40] 2019,ncov
[31] covid,19
[13] sars,ncov
[13] chadox1,ncov
[13] ncov,19
[12] ncov,sars
[11] cov,testing
[11] spike,protein
[10] respiratory,syndrome

Top Word Pairs in Tweet in G3:
[3] 2019,ncov
[3] sars,cov
[3] full,length
[2] rossana38510044,luigi_warren
[2] luigi_warren,antgduarte
[2] antgduarte,rolandbakeriii
[2] rolandbakeriii,nomdeplumi1
[2] nomdeplumi1,khaledatalaat
[2] khaledatalaat,atomskssanakan
[2] atomskssanakan,billybostickson

Top Word Pairs in Tweet in G4:
[45] sars,cov
[32] eid,aerosol
[32] aerosol,transmission
[32] transmission,sars
[32] cov,more
[32] more,important
[32] important,exposure
[32] exposure,transmission
[32] transmission,pathway
[32] pathway,previously

Top Word Pairs in Tweet in G5:
[27] uso,productos
[27] productos,utilizan
[23] ministerio,sanidad
[22] publicada,web
[22] web,ministerio
[22] sanidad,nota
[22] nota,actuación
[22] actuación,relación
[22] relación,uso
[21] sanidadgob,publicada

Top Word Pairs in Tweet in G6:
[31] sars,cov
[31] cov,spread
[31] spread,eye
[31] eye,inhalation
[31] inhalation,sewage
[31] sewage,contaminated
[31] contaminated,water
[31] water,possibly
[31] possibly,sewer
[31] sewer,gas

Top Word Pairs in Tweet in G7:
[5] covid,19
[5] novel,coronavirus
[5] 2019,ncov
[4] coronavirus,2019
[4] sars,cov
[2] 2019,novel
[2] ncov,sars
[2] ncov,19
[2] 19,covid
[2] 19,sars

Top Word Pairs in Tweet in G9:
[32] sars,ncov
[18] #covid19,cases
[16] ganjam,district
[16] total,sars
[16] ncov,infections
[16] infections,tally
[16] tally,rises
[14] otvnews,#breaking
[10] ncov,cases
[10] #breaking,165

Top Word Pairs in Tweet in G10:
[42] sars,cov
[29] 30,laboratorium
[21] ruim,30
[21] laboratorium,geïsoleerde
[21] geïsoleerde,stammen
[19] stammen,coronavirus
[19] coronavirus,bestaan
[19] bestaan,zeven
[19] zeven,varianten
[19] varianten,die

Top Replied-To
Top Replied-To in Entire Graph:
@acyn
@n3tjunki3
@ethicalskeptic
@szczecinmoto
@afp
@minpres
@vanranstmarc
@karelbrits
@moltobenone
@harrysmallwood1

Top Replied-To in G3:
@rossana38510044
@ayjchan

Top Replied-To in G5:
@sanidadgob

Top Replied-To in G7:
@acyn
@kathygriffin
@realdonaldtrump
@bullbot321
@jakandersen

Top Replied-To in G8:
@docchennai
@anantbhan

Top Replied-To in G10:
@minpres
@afp
@szczecinmoto
@polanusadvocaat
@mafkeesje1000
@usarmy
@rivm
@guardiannews
@thesunfootball
@ctvnews

Top Mentioned
Top Mentioned in Entire Graph:
@ct_bergstrom
@flutrackers
@wmhaseltine
@otvnews
@sanidadgob
@hikmetgeckil
@dayarvsvau
@ydeigin
@dawnb4618
@mikeandersonsr

Top Mentioned in G1:
@ct_bergstrom

Top Mentioned in G2:
@schaechterle
@qzv00507
@acubiz
@daniellefong

Top Mentioned in G3:
@antgduarte
@luigi_warren
@rolandbakeriii
@nomdeplumi1
@khaledatalaat
@atomskssanakan
@billybostickson
@ayjchan
@canardbruno
@willard1951

Top Mentioned in G4:
@flutrackers
@gertvanderhoek
@ct_bergstrom

Top Mentioned in G5:
@sanidadgob
@troposfera
@urgenciasemerge
@prevencionjcyl
@insst_mtes

Top Mentioned in G6:
@wmhaseltine

Top Mentioned in G7:
@realdonaldtrump
@tradingthomas3
@gop
@atrupar
@pdacosta
@afa1776
@jonstanich
@timhutchingsftw
@yosem2023
@presssec

Top Mentioned in G8:
@kamleshkhunti
@gilliesclare
@yoginichudasama
@profmjdavies
@amarput
@abdtahrani
@danieljdrucker
@drmohanv
@askdrshashank
@docanoopmisra

Top Mentioned in G9:
@otvnews

Top Mentioned in G10:
@dayarvsvau
@viruswaanzin
@afp
@szczecinmoto
@mafkeesje1000
@usarmy
@rivm
@hugodejonge
@nos
@rtlnieuws

Top Tweeters
Top Tweeters in Entire Graph:
@lopezgovlaw
@littlebytesnews
@nathuhiqx
@backstorymom1
@thehill
@ungubunugu1274
@1loriking
@illmatic_kid
@morgfair
@samhainnight

Top Tweeters in G1:
@backstorymom1
@1loriking
@illmatic_kid
@samhainnight
@estarianne
@lorettabower3
@redboybroken
@lltwing
@pgmckim
@dunnclan

Top Tweeters in G2:
@nathuhiqx
@8000yo
@ketan72
@qzv00507
@medicalnewser
@lamed_vav
@chert_poberi_ru
@stroumph_
@radio_sucre700
@itnan_ru

Top Tweeters in G3:
@wsj
@skynewsaust
@tokyo_tom
@luigi_warren
@real_adam_b
@_coltseavers
@atomskssanakan
@dcoronata
@dancady
@wss_memorial

Top Tweeters in G4:
@littlebytesnews
@ungubunugu1274
@baronianconsult
@myglobalpac
@forgerat
@bprophetable
@drjudystone
@benhaygood
@crof
@kjgillenwater

Top Tweeters in G5:
@guzmanpepa
@naattuvarthakal
@blogsostenible
@malgamar
@anna__hard
@regmurcialimpia
@saezatxa
@chuchencio
@laligonzalezv
@tebatasi

Top Tweeters in G6:
@now_justice
@ravenxv
@prometheusgreen
@rtanglao
@judlegexe
@tdalmoe
@blancanieves721
@nehoez
@euniebelle
@richmngunisa

Top Tweeters in G7:
@aafkevultink
@pdacosta
@acyn
@atrupar
@realdonaldtrump
@gop
@kathygriffin
@cominagetcha
@afa1776
@tradingthomas3

Top Tweeters in G8:
@anantbhan
@abdtahrani
@danieljdrucker
@kamleshkhunti
@askdrshashank
@drambrishmithal
@amarput
@profmjdavies
@moayush
@unnikri

Top Tweeters in G9:
@otvnews
@shuvalaxmidas5
@iamitkumarpanda
@mohankeelu
@raykasturi
@bikramjbikram
@jyotienggr
@bimalthakur
@santoshsathua
@baburamjena13

Top Tweeters in G10:
@nos
@rtlnieuws
@afp
@thesunfootball
@guardiannews
@ctvnews
@aethonaia
@mafkeesje1000
@szczecinmoto
@hartvnl